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Determination of the equivalent anisotropy properties of polycrystalline magnetic materials: theoretical aspects and numerical analysis Michela Eleuteri University of Verona (Italy) Supported by: GNAMPA 2010 “Problemi variazionali in micromagnetismo” (resp. M. Eleuteri)

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Page 1: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Determination of the equivalent anisotropyproperties of polycrystalline magnetic materials:

theoretical aspects and numerical analysis

Michela Eleuteri

University of Verona (Italy)

Supported by: GNAMPA 2010 “Problemi variazionali inmicromagnetismo” (resp. M. Eleuteri)

Page 2: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Joint project with...

. Variational problems in micromagnetism

I. Fonseca, G. Leoni, (2000); G. Pisante (2004); E. Acerbi, I. Fonseca,G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto(2006).

. Equivalent anisotropy properties of polycrystalline magneticmaterials

Oriano Bottauscio and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Valeria Chiadó Piat (Politecnico di Torino)

Luca Lussardi (Università Cattolica di Brescia)

. Hybrid magnetic nanostructures for field detection

Marco Coïsson and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Sambri Alessia (Università degli Studi di Napoli “Federico II”).

Michela Eleuteri Polycrystalline magnetic materials

Page 3: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Joint project with...

. Variational problems in micromagnetism

I. Fonseca, G. Leoni, (2000); G. Pisante (2004); E. Acerbi, I. Fonseca,G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto(2006).

. Equivalent anisotropy properties of polycrystalline magneticmaterials

Oriano Bottauscio and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Valeria Chiadó Piat (Politecnico di Torino)

Luca Lussardi (Università Cattolica di Brescia)

. Hybrid magnetic nanostructures for field detection

Marco Coïsson and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Sambri Alessia (Università degli Studi di Napoli “Federico II”).

Michela Eleuteri Polycrystalline magnetic materials

Page 4: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Joint project with...

. Variational problems in micromagnetism

I. Fonseca, G. Leoni, (2000); G. Pisante (2004); E. Acerbi, I. Fonseca,G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto(2006).

. Equivalent anisotropy properties of polycrystalline magneticmaterials

Oriano Bottauscio and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Valeria Chiadó Piat (Politecnico di Torino)

Luca Lussardi (Università Cattolica di Brescia)

. Hybrid magnetic nanostructures for field detection

Marco Coïsson and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Sambri Alessia (Università degli Studi di Napoli “Federico II”).

Michela Eleuteri Polycrystalline magnetic materials

Page 5: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Joint project with...

. Variational problems in micromagnetism

I. Fonseca, G. Leoni, (2000); G. Pisante (2004); E. Acerbi, I. Fonseca,G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto(2006).

. Equivalent anisotropy properties of polycrystalline magneticmaterials

Oriano Bottauscio and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Valeria Chiadó Piat (Politecnico di Torino)

Luca Lussardi (Università Cattolica di Brescia)

. Hybrid magnetic nanostructures for field detection

Marco Coïsson and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Sambri Alessia (Università degli Studi di Napoli “Federico II”).

Michela Eleuteri Polycrystalline magnetic materials

Page 6: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Joint project with...

. Variational problems in micromagnetism

I. Fonseca, G. Leoni, (2000); G. Pisante (2004); E. Acerbi, I. Fonseca,G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto(2006).

. Equivalent anisotropy properties of polycrystalline magneticmaterials

Oriano Bottauscio and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Valeria Chiadó Piat (Politecnico di Torino)

Luca Lussardi (Università Cattolica di Brescia)

. Hybrid magnetic nanostructures for field detection

Marco Coïsson and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Sambri Alessia (Università degli Studi di Napoli “Federico II”).

Michela Eleuteri Polycrystalline magnetic materials

Page 7: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Joint project with...

. Variational problems in micromagnetism

I. Fonseca, G. Leoni, (2000); G. Pisante (2004); E. Acerbi, I. Fonseca,G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto(2006).

. Equivalent anisotropy properties of polycrystalline magneticmaterials

Oriano Bottauscio and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Valeria Chiadó Piat (Politecnico di Torino)

Luca Lussardi (Università Cattolica di Brescia)

. Hybrid magnetic nanostructures for field detection

Marco Coïsson and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Sambri Alessia (Università degli Studi di Napoli “Federico II”).

Michela Eleuteri Polycrystalline magnetic materials

Page 8: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Joint project with...

. Variational problems in micromagnetism

I. Fonseca, G. Leoni, (2000); G. Pisante (2004); E. Acerbi, I. Fonseca,G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto(2006).

. Equivalent anisotropy properties of polycrystalline magneticmaterials

Oriano Bottauscio and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Valeria Chiadó Piat (Politecnico di Torino)

Luca Lussardi (Università Cattolica di Brescia)

. Hybrid magnetic nanostructures for field detection

Marco Coïsson and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Sambri Alessia (Università degli Studi di Napoli “Federico II”).

Michela Eleuteri Polycrystalline magnetic materials

Page 9: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Joint project with...

. Variational problems in micromagnetism

I. Fonseca, G. Leoni, (2000); G. Pisante (2004); E. Acerbi, I. Fonseca,G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto(2006).

. Equivalent anisotropy properties of polycrystalline magneticmaterials

Oriano Bottauscio and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Valeria Chiadó Piat (Politecnico di Torino)

Luca Lussardi (Università Cattolica di Brescia)

. Hybrid magnetic nanostructures for field detection

Marco Coïsson and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Sambri Alessia (Università degli Studi di Napoli “Federico II”).

Michela Eleuteri Polycrystalline magnetic materials

Page 10: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Joint project with...

. Variational problems in micromagnetism

I. Fonseca, G. Leoni, (2000); G. Pisante (2004); E. Acerbi, I. Fonseca,G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto(2006).

. Equivalent anisotropy properties of polycrystalline magneticmaterials

Oriano Bottauscio and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Valeria Chiadó Piat (Politecnico di Torino)

Luca Lussardi (Università Cattolica di Brescia)

. Hybrid magnetic nanostructures for field detection

Marco Coïsson and Alessandra Manzin (INRIM - Istituto Nazionale diRicerca Metrologica)

Sambri Alessia (Università degli Studi di Napoli “Federico II”).

Michela Eleuteri Polycrystalline magnetic materials

Page 11: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Task of the research project

Development of theoretical formulations based on the classical tools ofMathematical Analysis, in particular the methods of the Calculus ofVariations and of the analysis of Partial Differential Equations, forstudying magnetization processes in complex magnetic nanostructures

Strong connection between PoliTO and INRIM, between mathematicsand numerics, with the aim of giving the necessary mathematicalsupport for developing advanced computational models for themicromagnetic calculus and the analysis of the nanostructuresproduced the INRIM research team

The relevance of such activity is underlined by the more and moregrowing attention which has been dedicated, during the last decade, tothe study of micromagnetic problems with the methods of the Calculusof Variations and, more generally, of the Mathematical Analysis

The basic aim is the comprehension of the connections between thematerial properties on the microscopic level and the behavior on themacroscopic scale, with the idea of giving a modeling interpretation ofthe experimental data

Michela Eleuteri Polycrystalline magnetic materials

Page 12: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Task of the research project

Development of theoretical formulations based on the classical tools ofMathematical Analysis, in particular the methods of the Calculus ofVariations and of the analysis of Partial Differential Equations, forstudying magnetization processes in complex magnetic nanostructures

Strong connection between PoliTO and INRIM, between mathematicsand numerics, with the aim of giving the necessary mathematicalsupport for developing advanced computational models for themicromagnetic calculus and the analysis of the nanostructuresproduced the INRIM research team

The relevance of such activity is underlined by the more and moregrowing attention which has been dedicated, during the last decade, tothe study of micromagnetic problems with the methods of the Calculusof Variations and, more generally, of the Mathematical Analysis

The basic aim is the comprehension of the connections between thematerial properties on the microscopic level and the behavior on themacroscopic scale, with the idea of giving a modeling interpretation ofthe experimental data

Michela Eleuteri Polycrystalline magnetic materials

Page 13: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Task of the research project

Development of theoretical formulations based on the classical tools ofMathematical Analysis, in particular the methods of the Calculus ofVariations and of the analysis of Partial Differential Equations, forstudying magnetization processes in complex magnetic nanostructures

Strong connection between PoliTO and INRIM, between mathematicsand numerics, with the aim of giving the necessary mathematicalsupport for developing advanced computational models for themicromagnetic calculus and the analysis of the nanostructuresproduced the INRIM research team

The relevance of such activity is underlined by the more and moregrowing attention which has been dedicated, during the last decade, tothe study of micromagnetic problems with the methods of the Calculusof Variations and, more generally, of the Mathematical Analysis

The basic aim is the comprehension of the connections between thematerial properties on the microscopic level and the behavior on themacroscopic scale, with the idea of giving a modeling interpretation ofthe experimental data

Michela Eleuteri Polycrystalline magnetic materials

Page 14: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Task of the research project

Development of theoretical formulations based on the classical tools ofMathematical Analysis, in particular the methods of the Calculus ofVariations and of the analysis of Partial Differential Equations, forstudying magnetization processes in complex magnetic nanostructures

Strong connection between PoliTO and INRIM, between mathematicsand numerics, with the aim of giving the necessary mathematicalsupport for developing advanced computational models for themicromagnetic calculus and the analysis of the nanostructuresproduced the INRIM research team

The relevance of such activity is underlined by the more and moregrowing attention which has been dedicated, during the last decade, tothe study of micromagnetic problems with the methods of the Calculusof Variations and, more generally, of the Mathematical Analysis

The basic aim is the comprehension of the connections between thematerial properties on the microscopic level and the behavior on themacroscopic scale, with the idea of giving a modeling interpretation ofthe experimental data

Michela Eleuteri Polycrystalline magnetic materials

Page 15: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Task of the research project

The attention is focused on the study of the Landau-Lifschitz-Gilbert(LLG) equation, universally adopted in the prediction of the nonlineardynamic of magnetic materials on micron- and submicron-scaleGreat importance to the analysis of the minima of the Gibbs free energyfunctional, strictly connected to the LLG equation, with the aim ofdetermining the equilibrium configurations in complex magnetic systemsThe development of mathematical models for the analysis of magneticnanostructures may present criticalities concerned with the treatment ofthe spatial distribution of the physical and structural parameters, whosecombination gives origin to phenomena characterized by a stronglymultiscale natureIn particular, the energy functional is characterized by the simultaneouspresence of energetic terms that deal with very different length scales,whose interaction must be treated in a very accurate way, in order tohave a correct interpretation of the evolution of magnetic domainsTo this end, a first aim will be concerned with the development ofmultiscale formulations based on homogenization techniques and on theGamma-convergence theory

Michela Eleuteri Polycrystalline magnetic materials

Page 16: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Task of the research project

The attention is focused on the study of the Landau-Lifschitz-Gilbert(LLG) equation, universally adopted in the prediction of the nonlineardynamic of magnetic materials on micron- and submicron-scaleGreat importance to the analysis of the minima of the Gibbs free energyfunctional, strictly connected to the LLG equation, with the aim ofdetermining the equilibrium configurations in complex magnetic systemsThe development of mathematical models for the analysis of magneticnanostructures may present criticalities concerned with the treatment ofthe spatial distribution of the physical and structural parameters, whosecombination gives origin to phenomena characterized by a stronglymultiscale natureIn particular, the energy functional is characterized by the simultaneouspresence of energetic terms that deal with very different length scales,whose interaction must be treated in a very accurate way, in order tohave a correct interpretation of the evolution of magnetic domainsTo this end, a first aim will be concerned with the development ofmultiscale formulations based on homogenization techniques and on theGamma-convergence theory

Michela Eleuteri Polycrystalline magnetic materials

Page 17: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Task of the research project

The attention is focused on the study of the Landau-Lifschitz-Gilbert(LLG) equation, universally adopted in the prediction of the nonlineardynamic of magnetic materials on micron- and submicron-scaleGreat importance to the analysis of the minima of the Gibbs free energyfunctional, strictly connected to the LLG equation, with the aim ofdetermining the equilibrium configurations in complex magnetic systemsThe development of mathematical models for the analysis of magneticnanostructures may present criticalities concerned with the treatment ofthe spatial distribution of the physical and structural parameters, whosecombination gives origin to phenomena characterized by a stronglymultiscale natureIn particular, the energy functional is characterized by the simultaneouspresence of energetic terms that deal with very different length scales,whose interaction must be treated in a very accurate way, in order tohave a correct interpretation of the evolution of magnetic domainsTo this end, a first aim will be concerned with the development ofmultiscale formulations based on homogenization techniques and on theGamma-convergence theory

Michela Eleuteri Polycrystalline magnetic materials

Page 18: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Task of the research project

The attention is focused on the study of the Landau-Lifschitz-Gilbert(LLG) equation, universally adopted in the prediction of the nonlineardynamic of magnetic materials on micron- and submicron-scaleGreat importance to the analysis of the minima of the Gibbs free energyfunctional, strictly connected to the LLG equation, with the aim ofdetermining the equilibrium configurations in complex magnetic systemsThe development of mathematical models for the analysis of magneticnanostructures may present criticalities concerned with the treatment ofthe spatial distribution of the physical and structural parameters, whosecombination gives origin to phenomena characterized by a stronglymultiscale natureIn particular, the energy functional is characterized by the simultaneouspresence of energetic terms that deal with very different length scales,whose interaction must be treated in a very accurate way, in order tohave a correct interpretation of the evolution of magnetic domainsTo this end, a first aim will be concerned with the development ofmultiscale formulations based on homogenization techniques and on theGamma-convergence theory

Michela Eleuteri Polycrystalline magnetic materials

Page 19: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Task of the research project

The attention is focused on the study of the Landau-Lifschitz-Gilbert(LLG) equation, universally adopted in the prediction of the nonlineardynamic of magnetic materials on micron- and submicron-scaleGreat importance to the analysis of the minima of the Gibbs free energyfunctional, strictly connected to the LLG equation, with the aim ofdetermining the equilibrium configurations in complex magnetic systemsThe development of mathematical models for the analysis of magneticnanostructures may present criticalities concerned with the treatment ofthe spatial distribution of the physical and structural parameters, whosecombination gives origin to phenomena characterized by a stronglymultiscale natureIn particular, the energy functional is characterized by the simultaneouspresence of energetic terms that deal with very different length scales,whose interaction must be treated in a very accurate way, in order tohave a correct interpretation of the evolution of magnetic domainsTo this end, a first aim will be concerned with the development ofmultiscale formulations based on homogenization techniques and on theGamma-convergence theory

Michela Eleuteri Polycrystalline magnetic materials

Page 20: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Plan of the talk

Nanostructures and nanotechnology

Magnetic nanostructures (examples and polycrystalline magneticmaterials)

Criticalities from the strongly multiscale nature of the magnetizationprocesses (numerical treatment difficult task)

Our approach and our results

Michela Eleuteri Polycrystalline magnetic materials

Page 21: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Plan of the talk

Nanostructures and nanotechnology

Magnetic nanostructures (examples and polycrystalline magneticmaterials)

Criticalities from the strongly multiscale nature of the magnetizationprocesses (numerical treatment difficult task)

Our approach and our results

Michela Eleuteri Polycrystalline magnetic materials

Page 22: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Plan of the talk

Nanostructures and nanotechnology

Magnetic nanostructures (examples and polycrystalline magneticmaterials)

Criticalities from the strongly multiscale nature of the magnetizationprocesses (numerical treatment difficult task)

Our approach and our results

Michela Eleuteri Polycrystalline magnetic materials

Page 23: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Plan of the talk

Nanostructures and nanotechnology

Magnetic nanostructures (examples and polycrystalline magneticmaterials)

Criticalities from the strongly multiscale nature of the magnetizationprocesses (numerical treatment difficult task)

Our approach and our results

Michela Eleuteri Polycrystalline magnetic materials

Page 24: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Nanostructures and nanotecnology

General agreement of the fact that the first person who had intuitionabout the potentialities of nanotecnologies was R. Feyman (Nobel Prizein Physics, in 1965)

In a well known conference in 1959 at the Californian Institute ofTechnology said a sentence that became famous: “There is plenty ofroom at the bottom” (meaning “at the atomic dimension”)

Feyman intuition was that it could have been possible to manipulate thematter at the atomic or subatomic scale

Michela Eleuteri Polycrystalline magnetic materials

Page 25: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Nanostructures and nanotecnology

General agreement of the fact that the first person who had intuitionabout the potentialities of nanotecnologies was R. Feyman (Nobel Prizein Physics, in 1965)

In a well known conference in 1959 at the Californian Institute ofTechnology said a sentence that became famous: “There is plenty ofroom at the bottom” (meaning “at the atomic dimension”)

Feyman intuition was that it could have been possible to manipulate thematter at the atomic or subatomic scale

Michela Eleuteri Polycrystalline magnetic materials

Page 26: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Nanostructures and nanotecnology

General agreement of the fact that the first person who had intuitionabout the potentialities of nanotecnologies was R. Feyman (Nobel Prizein Physics, in 1965)

In a well known conference in 1959 at the Californian Institute ofTechnology said a sentence that became famous: “There is plenty ofroom at the bottom” (meaning “at the atomic dimension”)

Feyman intuition was that it could have been possible to manipulate thematter at the atomic or subatomic scale

Michela Eleuteri Polycrystalline magnetic materials

Page 27: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Nanostructures and nanotecnology

Figure 1: A nickel sheet where there have been posed atoms singularlymanipulated (From: Marco Bettinelli “Nanostrutture enano-tecnologie”(2008))

Nanotechnology: to modify intentionally matter, at the atomic orsubatomic scale (interdisciplinary)

Michela Eleuteri Polycrystalline magnetic materials

Page 28: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Nanostructures and nanotecnology

Figure 1: A nickel sheet where there have been posed atoms singularlymanipulated (From: Marco Bettinelli “Nanostrutture enano-tecnologie”(2008))

Nanotechnology: to modify intentionally matter, at the atomic orsubatomic scale (interdisciplinary)

Michela Eleuteri Polycrystalline magnetic materials

Page 29: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

R. Skomski “Nanomagnetis” J. Phys.: Condens. Matter, 15 (2003)R841-R896.

Thousands of years of human curiosity have led to the discovery ofmagnetism, and for many centuries magnetism has stimulated progressin science and technology

For a long time, the focus had been on macroscopic magnetism, asexemplified by the compass needle, by the geomagnetic field and by theability of electromagnets and permanent magnets to do mechanicalwork

Atomic-scale magnetic phenomena, such as quantum-mechanicalexchange, crystal-field interaction or relativistic spin-orbit coupling werediscovered in the first half of the last century and are now exploited, forexample, in advanced permanent- magnet intermetallics

However, only in recent decades it became clear that solid-statemagnetism is, to a large extent, a nanostructural phenomenon

Michela Eleuteri Polycrystalline magnetic materials

Page 30: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

R. Skomski “Nanomagnetis” J. Phys.: Condens. Matter, 15 (2003)R841-R896.

Thousands of years of human curiosity have led to the discovery ofmagnetism, and for many centuries magnetism has stimulated progressin science and technology

For a long time, the focus had been on macroscopic magnetism, asexemplified by the compass needle, by the geomagnetic field and by theability of electromagnets and permanent magnets to do mechanicalwork

Atomic-scale magnetic phenomena, such as quantum-mechanicalexchange, crystal-field interaction or relativistic spin-orbit coupling werediscovered in the first half of the last century and are now exploited, forexample, in advanced permanent- magnet intermetallics

However, only in recent decades it became clear that solid-statemagnetism is, to a large extent, a nanostructural phenomenon

Michela Eleuteri Polycrystalline magnetic materials

Page 31: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

R. Skomski “Nanomagnetis” J. Phys.: Condens. Matter, 15 (2003)R841-R896.

Thousands of years of human curiosity have led to the discovery ofmagnetism, and for many centuries magnetism has stimulated progressin science and technology

For a long time, the focus had been on macroscopic magnetism, asexemplified by the compass needle, by the geomagnetic field and by theability of electromagnets and permanent magnets to do mechanicalwork

Atomic-scale magnetic phenomena, such as quantum-mechanicalexchange, crystal-field interaction or relativistic spin-orbit coupling werediscovered in the first half of the last century and are now exploited, forexample, in advanced permanent- magnet intermetallics

However, only in recent decades it became clear that solid-statemagnetism is, to a large extent, a nanostructural phenomenon

Michela Eleuteri Polycrystalline magnetic materials

Page 32: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

R. Skomski “Nanomagnetis” J. Phys.: Condens. Matter, 15 (2003)R841-R896.

Thousands of years of human curiosity have led to the discovery ofmagnetism, and for many centuries magnetism has stimulated progressin science and technology

For a long time, the focus had been on macroscopic magnetism, asexemplified by the compass needle, by the geomagnetic field and by theability of electromagnets and permanent magnets to do mechanicalwork

Atomic-scale magnetic phenomena, such as quantum-mechanicalexchange, crystal-field interaction or relativistic spin-orbit coupling werediscovered in the first half of the last century and are now exploited, forexample, in advanced permanent- magnet intermetallics

However, only in recent decades it became clear that solid-statemagnetism is, to a large extent, a nanostructural phenomenon

Michela Eleuteri Polycrystalline magnetic materials

Page 33: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

R. Skomski “Nanomagnetis” J. Phys.: Condens. Matter, 15 (2003)R841-R896.

Thousands of years of human curiosity have led to the discovery ofmagnetism, and for many centuries magnetism has stimulated progressin science and technology

For a long time, the focus had been on macroscopic magnetism, asexemplified by the compass needle, by the geomagnetic field and by theability of electromagnets and permanent magnets to do mechanicalwork

Atomic-scale magnetic phenomena, such as quantum-mechanicalexchange, crystal-field interaction or relativistic spin-orbit coupling werediscovered in the first half of the last century and are now exploited, forexample, in advanced permanent- magnet intermetallics

However, only in recent decades it became clear that solid-statemagnetism is, to a large extent, a nanostructural phenomenon

Michela Eleuteri Polycrystalline magnetic materials

Page 34: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

The scientific and technological importance of magnetic nanostructureshas different reasons (overwhelming variety of structures with interestingphysical propertiesc - from naturally occurring nanomagnets andcomparatively easy-to-produce bulk nanocomposites to demandingartificial nanostructures; involvement of nanoscale effects in theexplanation and improvement of the properties of advanced magneticmaterials; the fact that nanomagnetism opened the door for completelynew technologies)

A naturally occurring biomagnetic phenomenon is magnetite (Fe3O4)nanoparticles precipitated in bacteria, molluscs, insects and higheranimals

Magnetostatic bacteria live in dark environments and contain chains of40-100 nm magnetite particles used for vertical orientation

Michela Eleuteri Polycrystalline magnetic materials

Page 35: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

The scientific and technological importance of magnetic nanostructureshas different reasons (overwhelming variety of structures with interestingphysical propertiesc - from naturally occurring nanomagnets andcomparatively easy-to-produce bulk nanocomposites to demandingartificial nanostructures; involvement of nanoscale effects in theexplanation and improvement of the properties of advanced magneticmaterials; the fact that nanomagnetism opened the door for completelynew technologies)

A naturally occurring biomagnetic phenomenon is magnetite (Fe3O4)nanoparticles precipitated in bacteria, molluscs, insects and higheranimals

Magnetostatic bacteria live in dark environments and contain chains of40-100 nm magnetite particles used for vertical orientation

Michela Eleuteri Polycrystalline magnetic materials

Page 36: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

The scientific and technological importance of magnetic nanostructureshas different reasons (overwhelming variety of structures with interestingphysical propertiesc - from naturally occurring nanomagnets andcomparatively easy-to-produce bulk nanocomposites to demandingartificial nanostructures; involvement of nanoscale effects in theexplanation and improvement of the properties of advanced magneticmaterials; the fact that nanomagnetism opened the door for completelynew technologies)

A naturally occurring biomagnetic phenomenon is magnetite (Fe3O4)nanoparticles precipitated in bacteria, molluscs, insects and higheranimals

Magnetostatic bacteria live in dark environments and contain chains of40-100 nm magnetite particles used for vertical orientation

Michela Eleuteri Polycrystalline magnetic materials

Page 37: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

Similar magnetite particles have been found in the brains of bees,pigeons and tuna, and it is being investigated whether and how theparticles serve as field sensors for migration

Magnetite and other oxide particles are also responsible for rockmagnetism, exploited for example in archaeomagnetic dating and formonitoring changes in the Earth’s magnetic field

A fascinating approach is artificial nanostructuring to create completelynew materials and technologies

Advanced magnetic nanostructures are characterized by a fascinatingdiversity of geometries, ranging from complex bulk structures to a broadvariety of low-dimensional systems - Figure 2 shows some examples

Michela Eleuteri Polycrystalline magnetic materials

Page 38: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

Similar magnetite particles have been found in the brains of bees,pigeons and tuna, and it is being investigated whether and how theparticles serve as field sensors for migration

Magnetite and other oxide particles are also responsible for rockmagnetism, exploited for example in archaeomagnetic dating and formonitoring changes in the Earth’s magnetic field

A fascinating approach is artificial nanostructuring to create completelynew materials and technologies

Advanced magnetic nanostructures are characterized by a fascinatingdiversity of geometries, ranging from complex bulk structures to a broadvariety of low-dimensional systems - Figure 2 shows some examples

Michela Eleuteri Polycrystalline magnetic materials

Page 39: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

Similar magnetite particles have been found in the brains of bees,pigeons and tuna, and it is being investigated whether and how theparticles serve as field sensors for migration

Magnetite and other oxide particles are also responsible for rockmagnetism, exploited for example in archaeomagnetic dating and formonitoring changes in the Earth’s magnetic field

A fascinating approach is artificial nanostructuring to create completelynew materials and technologies

Advanced magnetic nanostructures are characterized by a fascinatingdiversity of geometries, ranging from complex bulk structures to a broadvariety of low-dimensional systems - Figure 2 shows some examples

Michela Eleuteri Polycrystalline magnetic materials

Page 40: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

Similar magnetite particles have been found in the brains of bees,pigeons and tuna, and it is being investigated whether and how theparticles serve as field sensors for migration

Magnetite and other oxide particles are also responsible for rockmagnetism, exploited for example in archaeomagnetic dating and formonitoring changes in the Earth’s magnetic field

A fascinating approach is artificial nanostructuring to create completelynew materials and technologies

Advanced magnetic nanostructures are characterized by a fascinatingdiversity of geometries, ranging from complex bulk structures to a broadvariety of low-dimensional systems - Figure 2 shows some examples

Michela Eleuteri Polycrystalline magnetic materials

Page 41: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Magnetic nanostructures

Figure 2: Typical nanostructure geometries: (a) chain of fine particles,(b) striped nanowire, (c) cylindrical nanowire, (d) nanojunction, (e) vicinalsurface step, (f) nanodots, (g) antidots and (h) particulate medium.

Michela Eleuteri Polycrystalline magnetic materials

Page 42: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Micromagnetic numerical models common tool for evaluating themagnetization processes in magnetic nanostructuresDeep understanding of the relationship between structural propertiesand magnetic domain formation - outcomes in technological applicationsMicromagnetics theory based on a continuum approximation of themagnetization spatial distribution - different energy contributionscompete to determine magnetic domain configurationMost important contributions: exchange, magnetostatic, anisotropy andZeeman energies whose accurate approximation is essential to correctlyevaluate time and spatial evolution of magnetization within the sampleEnergy terms act at different spatial scales (nanometric resolution:exchange term; sample dim.: long-range magnetostatic interactions)Magnetic anisotropy expresses the tendency of the magnetization to liealong certain crystallographic directions - intermediate spatial scaleMagnetic properties are influenced by the size, shape, boundaryproperties and orientation distribution of grainsMicromagnetic simulations complex task - simulations often performedunder the hypothesis of single crystal

Michela Eleuteri Polycrystalline magnetic materials

Page 43: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Micromagnetic numerical models common tool for evaluating themagnetization processes in magnetic nanostructuresDeep understanding of the relationship between structural propertiesand magnetic domain formation - outcomes in technological applicationsMicromagnetics theory based on a continuum approximation of themagnetization spatial distribution - different energy contributionscompete to determine magnetic domain configurationMost important contributions: exchange, magnetostatic, anisotropy andZeeman energies whose accurate approximation is essential to correctlyevaluate time and spatial evolution of magnetization within the sampleEnergy terms act at different spatial scales (nanometric resolution:exchange term; sample dim.: long-range magnetostatic interactions)Magnetic anisotropy expresses the tendency of the magnetization to liealong certain crystallographic directions - intermediate spatial scaleMagnetic properties are influenced by the size, shape, boundaryproperties and orientation distribution of grainsMicromagnetic simulations complex task - simulations often performedunder the hypothesis of single crystal

Michela Eleuteri Polycrystalline magnetic materials

Page 44: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Micromagnetic numerical models common tool for evaluating themagnetization processes in magnetic nanostructuresDeep understanding of the relationship between structural propertiesand magnetic domain formation - outcomes in technological applicationsMicromagnetics theory based on a continuum approximation of themagnetization spatial distribution - different energy contributionscompete to determine magnetic domain configurationMost important contributions: exchange, magnetostatic, anisotropy andZeeman energies whose accurate approximation is essential to correctlyevaluate time and spatial evolution of magnetization within the sampleEnergy terms act at different spatial scales (nanometric resolution:exchange term; sample dim.: long-range magnetostatic interactions)Magnetic anisotropy expresses the tendency of the magnetization to liealong certain crystallographic directions - intermediate spatial scaleMagnetic properties are influenced by the size, shape, boundaryproperties and orientation distribution of grainsMicromagnetic simulations complex task - simulations often performedunder the hypothesis of single crystal

Michela Eleuteri Polycrystalline magnetic materials

Page 45: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Micromagnetic numerical models common tool for evaluating themagnetization processes in magnetic nanostructuresDeep understanding of the relationship between structural propertiesand magnetic domain formation - outcomes in technological applicationsMicromagnetics theory based on a continuum approximation of themagnetization spatial distribution - different energy contributionscompete to determine magnetic domain configurationMost important contributions: exchange, magnetostatic, anisotropy andZeeman energies whose accurate approximation is essential to correctlyevaluate time and spatial evolution of magnetization within the sampleEnergy terms act at different spatial scales (nanometric resolution:exchange term; sample dim.: long-range magnetostatic interactions)Magnetic anisotropy expresses the tendency of the magnetization to liealong certain crystallographic directions - intermediate spatial scaleMagnetic properties are influenced by the size, shape, boundaryproperties and orientation distribution of grainsMicromagnetic simulations complex task - simulations often performedunder the hypothesis of single crystal

Michela Eleuteri Polycrystalline magnetic materials

Page 46: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Micromagnetic numerical models common tool for evaluating themagnetization processes in magnetic nanostructuresDeep understanding of the relationship between structural propertiesand magnetic domain formation - outcomes in technological applicationsMicromagnetics theory based on a continuum approximation of themagnetization spatial distribution - different energy contributionscompete to determine magnetic domain configurationMost important contributions: exchange, magnetostatic, anisotropy andZeeman energies whose accurate approximation is essential to correctlyevaluate time and spatial evolution of magnetization within the sampleEnergy terms act at different spatial scales (nanometric resolution:exchange term; sample dim.: long-range magnetostatic interactions)Magnetic anisotropy expresses the tendency of the magnetization to liealong certain crystallographic directions - intermediate spatial scaleMagnetic properties are influenced by the size, shape, boundaryproperties and orientation distribution of grainsMicromagnetic simulations complex task - simulations often performedunder the hypothesis of single crystal

Michela Eleuteri Polycrystalline magnetic materials

Page 47: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Micromagnetic numerical models common tool for evaluating themagnetization processes in magnetic nanostructuresDeep understanding of the relationship between structural propertiesand magnetic domain formation - outcomes in technological applicationsMicromagnetics theory based on a continuum approximation of themagnetization spatial distribution - different energy contributionscompete to determine magnetic domain configurationMost important contributions: exchange, magnetostatic, anisotropy andZeeman energies whose accurate approximation is essential to correctlyevaluate time and spatial evolution of magnetization within the sampleEnergy terms act at different spatial scales (nanometric resolution:exchange term; sample dim.: long-range magnetostatic interactions)Magnetic anisotropy expresses the tendency of the magnetization to liealong certain crystallographic directions - intermediate spatial scaleMagnetic properties are influenced by the size, shape, boundaryproperties and orientation distribution of grainsMicromagnetic simulations complex task - simulations often performedunder the hypothesis of single crystal

Michela Eleuteri Polycrystalline magnetic materials

Page 48: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Micromagnetic numerical models common tool for evaluating themagnetization processes in magnetic nanostructuresDeep understanding of the relationship between structural propertiesand magnetic domain formation - outcomes in technological applicationsMicromagnetics theory based on a continuum approximation of themagnetization spatial distribution - different energy contributionscompete to determine magnetic domain configurationMost important contributions: exchange, magnetostatic, anisotropy andZeeman energies whose accurate approximation is essential to correctlyevaluate time and spatial evolution of magnetization within the sampleEnergy terms act at different spatial scales (nanometric resolution:exchange term; sample dim.: long-range magnetostatic interactions)Magnetic anisotropy expresses the tendency of the magnetization to liealong certain crystallographic directions - intermediate spatial scaleMagnetic properties are influenced by the size, shape, boundaryproperties and orientation distribution of grainsMicromagnetic simulations complex task - simulations often performedunder the hypothesis of single crystal

Michela Eleuteri Polycrystalline magnetic materials

Page 49: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Micromagnetic numerical models common tool for evaluating themagnetization processes in magnetic nanostructuresDeep understanding of the relationship between structural propertiesand magnetic domain formation - outcomes in technological applicationsMicromagnetics theory based on a continuum approximation of themagnetization spatial distribution - different energy contributionscompete to determine magnetic domain configurationMost important contributions: exchange, magnetostatic, anisotropy andZeeman energies whose accurate approximation is essential to correctlyevaluate time and spatial evolution of magnetization within the sampleEnergy terms act at different spatial scales (nanometric resolution:exchange term; sample dim.: long-range magnetostatic interactions)Magnetic anisotropy expresses the tendency of the magnetization to liealong certain crystallographic directions - intermediate spatial scaleMagnetic properties are influenced by the size, shape, boundaryproperties and orientation distribution of grainsMicromagnetic simulations complex task - simulations often performedunder the hypothesis of single crystal

Michela Eleuteri Polycrystalline magnetic materials

Page 50: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Assumption of uniaxial or cubic anisotropy (valid for samples havingdimensions comparable than grain size)

Assumption inadequate in presence of polycrystalline materials (grainorientation and distribution affect the behaviour of the system)

Polycrystalline materials usually modelled within micromagneticnumerical codes as an array of grains, geometrically constructed usingVoronoi diagrams - each single-crystal grain is assumed to have arandomly oriented uniaxial anisotropy

Strong impact on the geometry building and meshing, making thepre-processing phase very complex

We propose an alternative procedure, based on the replacement of thepolycrystalline magnetic material with an homogenized sample havingequivalent anisotropy properties

Magnetic medium modeled as an assembly of monocrystalline grains,assuming a stochastic spatial distribution of easy axes

The mathematical theory of Γ-convergence is then applied tohomogenize the anisotropic term in the Gibbs free energy

Michela Eleuteri Polycrystalline magnetic materials

Page 51: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Assumption of uniaxial or cubic anisotropy (valid for samples havingdimensions comparable than grain size)

Assumption inadequate in presence of polycrystalline materials (grainorientation and distribution affect the behaviour of the system)

Polycrystalline materials usually modelled within micromagneticnumerical codes as an array of grains, geometrically constructed usingVoronoi diagrams - each single-crystal grain is assumed to have arandomly oriented uniaxial anisotropy

Strong impact on the geometry building and meshing, making thepre-processing phase very complex

We propose an alternative procedure, based on the replacement of thepolycrystalline magnetic material with an homogenized sample havingequivalent anisotropy properties

Magnetic medium modeled as an assembly of monocrystalline grains,assuming a stochastic spatial distribution of easy axes

The mathematical theory of Γ-convergence is then applied tohomogenize the anisotropic term in the Gibbs free energy

Michela Eleuteri Polycrystalline magnetic materials

Page 52: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Assumption of uniaxial or cubic anisotropy (valid for samples havingdimensions comparable than grain size)

Assumption inadequate in presence of polycrystalline materials (grainorientation and distribution affect the behaviour of the system)

Polycrystalline materials usually modelled within micromagneticnumerical codes as an array of grains, geometrically constructed usingVoronoi diagrams - each single-crystal grain is assumed to have arandomly oriented uniaxial anisotropy

Strong impact on the geometry building and meshing, making thepre-processing phase very complex

We propose an alternative procedure, based on the replacement of thepolycrystalline magnetic material with an homogenized sample havingequivalent anisotropy properties

Magnetic medium modeled as an assembly of monocrystalline grains,assuming a stochastic spatial distribution of easy axes

The mathematical theory of Γ-convergence is then applied tohomogenize the anisotropic term in the Gibbs free energy

Michela Eleuteri Polycrystalline magnetic materials

Page 53: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Assumption of uniaxial or cubic anisotropy (valid for samples havingdimensions comparable than grain size)

Assumption inadequate in presence of polycrystalline materials (grainorientation and distribution affect the behaviour of the system)

Polycrystalline materials usually modelled within micromagneticnumerical codes as an array of grains, geometrically constructed usingVoronoi diagrams - each single-crystal grain is assumed to have arandomly oriented uniaxial anisotropy

Strong impact on the geometry building and meshing, making thepre-processing phase very complex

We propose an alternative procedure, based on the replacement of thepolycrystalline magnetic material with an homogenized sample havingequivalent anisotropy properties

Magnetic medium modeled as an assembly of monocrystalline grains,assuming a stochastic spatial distribution of easy axes

The mathematical theory of Γ-convergence is then applied tohomogenize the anisotropic term in the Gibbs free energy

Michela Eleuteri Polycrystalline magnetic materials

Page 54: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Assumption of uniaxial or cubic anisotropy (valid for samples havingdimensions comparable than grain size)

Assumption inadequate in presence of polycrystalline materials (grainorientation and distribution affect the behaviour of the system)

Polycrystalline materials usually modelled within micromagneticnumerical codes as an array of grains, geometrically constructed usingVoronoi diagrams - each single-crystal grain is assumed to have arandomly oriented uniaxial anisotropy

Strong impact on the geometry building and meshing, making thepre-processing phase very complex

We propose an alternative procedure, based on the replacement of thepolycrystalline magnetic material with an homogenized sample havingequivalent anisotropy properties

Magnetic medium modeled as an assembly of monocrystalline grains,assuming a stochastic spatial distribution of easy axes

The mathematical theory of Γ-convergence is then applied tohomogenize the anisotropic term in the Gibbs free energy

Michela Eleuteri Polycrystalline magnetic materials

Page 55: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Assumption of uniaxial or cubic anisotropy (valid for samples havingdimensions comparable than grain size)

Assumption inadequate in presence of polycrystalline materials (grainorientation and distribution affect the behaviour of the system)

Polycrystalline materials usually modelled within micromagneticnumerical codes as an array of grains, geometrically constructed usingVoronoi diagrams - each single-crystal grain is assumed to have arandomly oriented uniaxial anisotropy

Strong impact on the geometry building and meshing, making thepre-processing phase very complex

We propose an alternative procedure, based on the replacement of thepolycrystalline magnetic material with an homogenized sample havingequivalent anisotropy properties

Magnetic medium modeled as an assembly of monocrystalline grains,assuming a stochastic spatial distribution of easy axes

The mathematical theory of Γ-convergence is then applied tohomogenize the anisotropic term in the Gibbs free energy

Michela Eleuteri Polycrystalline magnetic materials

Page 56: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Micromagnetic numerical models: difficulties

Assumption of uniaxial or cubic anisotropy (valid for samples havingdimensions comparable than grain size)

Assumption inadequate in presence of polycrystalline materials (grainorientation and distribution affect the behaviour of the system)

Polycrystalline materials usually modelled within micromagneticnumerical codes as an array of grains, geometrically constructed usingVoronoi diagrams - each single-crystal grain is assumed to have arandomly oriented uniaxial anisotropy

Strong impact on the geometry building and meshing, making thepre-processing phase very complex

We propose an alternative procedure, based on the replacement of thepolycrystalline magnetic material with an homogenized sample havingequivalent anisotropy properties

Magnetic medium modeled as an assembly of monocrystalline grains,assuming a stochastic spatial distribution of easy axes

The mathematical theory of Γ-convergence is then applied tohomogenize the anisotropic term in the Gibbs free energy

Michela Eleuteri Polycrystalline magnetic materials

Page 57: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

First results obtained

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Determination of the equivalent anisotropy properties of polycrystallinemagnetic materials: theoretical aspects and numerical analysis”, submitted.

The Γ−convergence theory is here adopted to homogenize theanisotropic contribution in the energy functional and derive theequivalent anisotropy propertiesThe reliability of this approach is investigating focusing on thecomputation of the static hysteresis loops of polycrystalline magneticthin films, starting from the numerical integration of the LLG equation

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Homogenization of random anisotropy properties in polycrystalline magneticmaterials”, “Proceedings of the 8th HMM”, Phys. B: Cond. Matt., (2012), DOI:10.1016/j.physb.2011.06.085.

Focus on the micromagnetic computations of reversal processes inpolycrystalline magnetic thin films (study of precessional switching,comparing the results for heterogeneous and homogenized media)

Michela Eleuteri Polycrystalline magnetic materials

Page 58: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

First results obtained

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Determination of the equivalent anisotropy properties of polycrystallinemagnetic materials: theoretical aspects and numerical analysis”, submitted.

The Γ−convergence theory is here adopted to homogenize theanisotropic contribution in the energy functional and derive theequivalent anisotropy propertiesThe reliability of this approach is investigating focusing on thecomputation of the static hysteresis loops of polycrystalline magneticthin films, starting from the numerical integration of the LLG equation

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Homogenization of random anisotropy properties in polycrystalline magneticmaterials”, “Proceedings of the 8th HMM”, Phys. B: Cond. Matt., (2012), DOI:10.1016/j.physb.2011.06.085.

Focus on the micromagnetic computations of reversal processes inpolycrystalline magnetic thin films (study of precessional switching,comparing the results for heterogeneous and homogenized media)

Michela Eleuteri Polycrystalline magnetic materials

Page 59: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

First results obtained

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Determination of the equivalent anisotropy properties of polycrystallinemagnetic materials: theoretical aspects and numerical analysis”, submitted.

The Γ−convergence theory is here adopted to homogenize theanisotropic contribution in the energy functional and derive theequivalent anisotropy propertiesThe reliability of this approach is investigating focusing on thecomputation of the static hysteresis loops of polycrystalline magneticthin films, starting from the numerical integration of the LLG equation

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Homogenization of random anisotropy properties in polycrystalline magneticmaterials”, “Proceedings of the 8th HMM”, Phys. B: Cond. Matt., (2012), DOI:10.1016/j.physb.2011.06.085.

Focus on the micromagnetic computations of reversal processes inpolycrystalline magnetic thin films (study of precessional switching,comparing the results for heterogeneous and homogenized media)

Michela Eleuteri Polycrystalline magnetic materials

Page 60: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

First results obtained

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Determination of the equivalent anisotropy properties of polycrystallinemagnetic materials: theoretical aspects and numerical analysis”, submitted.

The Γ−convergence theory is here adopted to homogenize theanisotropic contribution in the energy functional and derive theequivalent anisotropy propertiesThe reliability of this approach is investigating focusing on thecomputation of the static hysteresis loops of polycrystalline magneticthin films, starting from the numerical integration of the LLG equation

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Homogenization of random anisotropy properties in polycrystalline magneticmaterials”, “Proceedings of the 8th HMM”, Phys. B: Cond. Matt., (2012), DOI:10.1016/j.physb.2011.06.085.

Focus on the micromagnetic computations of reversal processes inpolycrystalline magnetic thin films (study of precessional switching,comparing the results for heterogeneous and homogenized media)

Michela Eleuteri Polycrystalline magnetic materials

Page 61: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

First results obtained

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Determination of the equivalent anisotropy properties of polycrystallinemagnetic materials: theoretical aspects and numerical analysis”, submitted.

The Γ−convergence theory is here adopted to homogenize theanisotropic contribution in the energy functional and derive theequivalent anisotropy propertiesThe reliability of this approach is investigating focusing on thecomputation of the static hysteresis loops of polycrystalline magneticthin films, starting from the numerical integration of the LLG equation

O. BOTTAUSCIO, V. CHIADÒ PIAT, M. ELEUTERI, L. LUSSARDI, A. MANZIN:“Homogenization of random anisotropy properties in polycrystalline magneticmaterials”, “Proceedings of the 8th HMM”, Phys. B: Cond. Matt., (2012), DOI:10.1016/j.physb.2011.06.085.

Focus on the micromagnetic computations of reversal processes inpolycrystalline magnetic thin films (study of precessional switching,comparing the results for heterogeneous and homogenized media)

Michela Eleuteri Polycrystalline magnetic materials

Page 62: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Outline

Homogenization results

Determination of equivalent anisotropy properties

Numerical validation of the homogenization results: computation ofswitching processes and of the static hysteresis loops in polycrystallinemagnetic thin films

Michela Eleuteri Polycrystalline magnetic materials

Page 63: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Outline

Homogenization results

Determination of equivalent anisotropy properties

Numerical validation of the homogenization results: computation ofswitching processes and of the static hysteresis loops in polycrystallinemagnetic thin films

Michela Eleuteri Polycrystalline magnetic materials

Page 64: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Outline

Homogenization results

Determination of equivalent anisotropy properties

Numerical validation of the homogenization results: computation ofswitching processes and of the static hysteresis loops in polycrystallinemagnetic thin films

Michela Eleuteri Polycrystalline magnetic materials

Page 65: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Setting of the problem

Polycrystalline magnetic sample, occupying a bounded open regionD⊂ R3

M ∈ L2(R3;R3) magnetization vector field, with M = MSχD in R3, MSbeing the saturation magnetization; m ∈ L2(R3;R3) m = M/MSrescaled magnetization

magnetic energy behaviour described by the following functional

F(m,Ha) =∫

DA|∇m|2 dx+

∫D

fan(m,uan)dx

−µ0

2

∫D

MSHm ·mdx−µ0

∫D

MSHa ·mdx

Hm = ∇u where ∇2u+∇ ·M = 0 in R3

More general setting for the anisotropy energy function: stochasticdistribution of easy axes

Michela Eleuteri Polycrystalline magnetic materials

Page 66: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Setting of the problem

Polycrystalline magnetic sample, occupying a bounded open regionD⊂ R3

M ∈ L2(R3;R3) magnetization vector field, with M = MSχD in R3, MSbeing the saturation magnetization; m ∈ L2(R3;R3) m = M/MSrescaled magnetization

magnetic energy behaviour described by the following functional

F(m,Ha) =∫

DA|∇m|2 dx+

∫D

fan(m,uan)dx

−µ0

2

∫D

MSHm ·mdx−µ0

∫D

MSHa ·mdx

Hm = ∇u where ∇2u+∇ ·M = 0 in R3

More general setting for the anisotropy energy function: stochasticdistribution of easy axes

Michela Eleuteri Polycrystalline magnetic materials

Page 67: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Setting of the problem

Polycrystalline magnetic sample, occupying a bounded open regionD⊂ R3

M ∈ L2(R3;R3) magnetization vector field, with M = MSχD in R3, MSbeing the saturation magnetization; m ∈ L2(R3;R3) m = M/MSrescaled magnetization

magnetic energy behaviour described by the following functional

F(m,Ha) =∫

DA|∇m|2 dx+

∫D

fan(m,uan)dx

−µ0

2

∫D

MSHm ·mdx−µ0

∫D

MSHa ·mdx

Hm = ∇u where ∇2u+∇ ·M = 0 in R3

More general setting for the anisotropy energy function: stochasticdistribution of easy axes

Michela Eleuteri Polycrystalline magnetic materials

Page 68: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Setting of the problem

Polycrystalline magnetic sample, occupying a bounded open regionD⊂ R3

M ∈ L2(R3;R3) magnetization vector field, with M = MSχD in R3, MSbeing the saturation magnetization; m ∈ L2(R3;R3) m = M/MSrescaled magnetization

magnetic energy behaviour described by the following functional

F(m,Ha) =∫

DA|∇m|2 dx+

∫D

fan(m,uan)dx

−µ0

2

∫D

MSHm ·mdx−µ0

∫D

MSHa ·mdx

Hm = ∇u where ∇2u+∇ ·M = 0 in R3

More general setting for the anisotropy energy function: stochasticdistribution of easy axes

Michela Eleuteri Polycrystalline magnetic materials

Page 69: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Setting of the problem

Polycrystalline magnetic sample, occupying a bounded open regionD⊂ R3

M ∈ L2(R3;R3) magnetization vector field, with M = MSχD in R3, MSbeing the saturation magnetization; m ∈ L2(R3;R3) m = M/MSrescaled magnetization

magnetic energy behaviour described by the following functional

F(m,Ha) =∫

DA|∇m|2 dx+

∫D

fan(m,uan)dx

−µ0

2

∫D

MSHm ·mdx−µ0

∫D

MSHa ·mdx

Hm = ∇u where ∇2u+∇ ·M = 0 in R3

More general setting for the anisotropy energy function: stochasticdistribution of easy axes

Michela Eleuteri Polycrystalline magnetic materials

Page 70: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Setting of the problem

Polycrystalline magnetic sample, occupying a bounded open regionD⊂ R3

M ∈ L2(R3;R3) magnetization vector field, with M = MSχD in R3, MSbeing the saturation magnetization; m ∈ L2(R3;R3) m = M/MSrescaled magnetization

magnetic energy behaviour described by the following functional

F(m,Ha) =∫

DA|∇m|2 dx+

∫D

fan(m,uan)dx

−µ0

2

∫D

MSHm ·mdx−µ0

∫D

MSHa ·mdx

Hm = ∇u where ∇2u+∇ ·M = 0 in R3

fan(m,uan) = kan[1− (m ·uan)2]

More general setting for the anisotropy energy function: stochasticdistribution of easy axes

Michela Eleuteri Polycrystalline magnetic materials

Page 71: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Setting of the problem

Polycrystalline magnetic sample, occupying a bounded open regionD⊂ R3

M ∈ L2(R3;R3) magnetization vector field, with M = MSχD in R3, MSbeing the saturation magnetization; m ∈ L2(R3;R3) m = M/MSrescaled magnetization

magnetic energy behaviour described by the following functional

F(m,Ha) =∫

DA|∇m|2 dx+

∫D

fan(m,uan)dx

−µ0

2

∫D

MSHm ·mdx−µ0

∫D

MSHa ·mdx

Hm = ∇u where ∇2u+∇ ·M = 0 in R3

fan(m,uan) = kan[1− (m ·uan)2]

More general setting for the anisotropy energy function: stochasticdistribution of easy axes

Michela Eleuteri Polycrystalline magnetic materials

Page 72: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Setting of the problem

Polycrystalline magnetic sample, occupying a bounded open regionD⊂ R3

M ∈ L2(R3;R3) magnetization vector field, with M = MSχD in R3, MSbeing the saturation magnetization; m ∈ L2(R3;R3) m = M/MSrescaled magnetization

magnetic energy behaviour described by the following functional

F(m,Ha) =∫

DA|∇m|2 dx+

∫D

fan(m,uan)dx

−µ0

2

∫D

MSHm ·mdx−µ0

∫D

MSHa ·mdx

Hm = ∇u where ∇2u+∇ ·M = 0 in R3

fan(m,uan) = kan[1− (m ·uan(Txω))2]

More general setting for the anisotropy energy function: stochasticdistribution of easy axes

Michela Eleuteri Polycrystalline magnetic materials

Page 73: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Setting of the problem

Polycrystalline magnetic sample, occupying a bounded open regionD⊂ R3

M ∈ L2(R3;R3) magnetization vector field, with M = MSχD in R3, MSbeing the saturation magnetization; m ∈ L2(R3;R3) m = M/MSrescaled magnetization

magnetic energy behaviour described by the following functional

Fε(m,ω) =∫

DA|∇m|2 dx+

∫D

fan

(m,

xε,ω)

dx

−µ0

2

∫D

MSHm ·mdx−µ0

∫D

MSHa ·mdx

Hm = ∇u where ∇2u+∇ ·M = 0 in R3

fan(m,uan) = kan[1− (m ·uan(Txω))2]

More general setting for the anisotropy energy function: stochasticdistribution of easy axes

Michela Eleuteri Polycrystalline magnetic materials

Page 74: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

The Γ−convergence result

K :=

m ∈ L2(R3;R3) : m|D ∈ H1(D;R3), |m|= χD a.e. in R3

For any m, let v ∈ H1(R3) be the unique solution of the equation

∇2v+∇ ·m = 0, in D ′(R3)

(Ω,F ,µ) probability space; T 3-dimensional ergodic dynamical system

Let ϕ : R3×R3×Ω→ [0,+∞) be a measurable map such thatϕ(0,0, ·) ∈ L1(Ω) and

|ϕ(m1,x,ω)−ϕ(m2,x,ω)| ≤ L|m1−m2|

We assume that for any m ∈ R3, the random field ϕ(m, ·, ·) is stationaryand ergodic: therefore ϕ(m,x,ω) = f (m,Txω) for a suitable mapf : R3×Ω→ [0,+∞).

Michela Eleuteri Polycrystalline magnetic materials

Page 75: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

The Γ−convergence result

K :=

m ∈ L2(R3;R3) : m|D ∈ H1(D;R3), |m|= χD a.e. in R3

For any m, let v ∈ H1(R3) be the unique solution of the equation

∇2v+∇ ·m = 0, in D ′(R3)

(Ω,F ,µ) probability space; T 3-dimensional ergodic dynamical system

Let ϕ : R3×R3×Ω→ [0,+∞) be a measurable map such thatϕ(0,0, ·) ∈ L1(Ω) and

|ϕ(m1,x,ω)−ϕ(m2,x,ω)| ≤ L|m1−m2|

We assume that for any m ∈ R3, the random field ϕ(m, ·, ·) is stationaryand ergodic: therefore ϕ(m,x,ω) = f (m,Txω) for a suitable mapf : R3×Ω→ [0,+∞).

Michela Eleuteri Polycrystalline magnetic materials

Page 76: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

The Γ−convergence result

K :=

m ∈ L2(R3;R3) : m|D ∈ H1(D;R3), |m|= χD a.e. in R3

For any m, let v ∈ H1(R3) be the unique solution of the equation

∇2v+∇ ·m = 0, in D ′(R3)

(Ω,F ,µ) probability space; T 3-dimensional ergodic dynamical system

Let ϕ : R3×R3×Ω→ [0,+∞) be a measurable map such thatϕ(0,0, ·) ∈ L1(Ω) and

|ϕ(m1,x,ω)−ϕ(m2,x,ω)| ≤ L|m1−m2|

We assume that for any m ∈ R3, the random field ϕ(m, ·, ·) is stationaryand ergodic: therefore ϕ(m,x,ω) = f (m,Txω) for a suitable mapf : R3×Ω→ [0,+∞).

Michela Eleuteri Polycrystalline magnetic materials

Page 77: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

The Γ−convergence result

K :=

m ∈ L2(R3;R3) : m|D ∈ H1(D;R3), |m|= χD a.e. in R3

For any m, let v ∈ H1(R3) be the unique solution of the equation

∇2v+∇ ·m = 0, in D ′(R3)

(Ω,F ,µ) probability space; T 3-dimensional ergodic dynamical system

Let ϕ : R3×R3×Ω→ [0,+∞) be a measurable map such thatϕ(0,0, ·) ∈ L1(Ω) and

|ϕ(m1,x,ω)−ϕ(m2,x,ω)| ≤ L|m1−m2|

We assume that for any m ∈ R3, the random field ϕ(m, ·, ·) is stationaryand ergodic: therefore ϕ(m,x,ω) = f (m,Txω) for a suitable mapf : R3×Ω→ [0,+∞).

Michela Eleuteri Polycrystalline magnetic materials

Page 78: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

The Γ−convergence result

K :=

m ∈ L2(R3;R3) : m|D ∈ H1(D;R3), |m|= χD a.e. in R3

For any m, let v ∈ H1(R3) be the unique solution of the equation

∇2v+∇ ·m = 0, in D ′(R3)

(Ω,F ,µ) probability space; T 3-dimensional ergodic dynamical system

Let ϕ : R3×R3×Ω→ [0,+∞) be a measurable map such thatϕ(0,0, ·) ∈ L1(Ω) and

|ϕ(m1,x,ω)−ϕ(m2,x,ω)| ≤ L|m1−m2|

We assume that for any m ∈ R3, the random field ϕ(m, ·, ·) is stationaryand ergodic: therefore ϕ(m,x,ω) = f (m,Txω) for a suitable mapf : R3×Ω→ [0,+∞).

Michela Eleuteri Polycrystalline magnetic materials

Page 79: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

The Γ−convergence result

For any ε > 0 and ω ∈Ω, let Eε(·,ω) : L2(R3;R3)→ [0,+∞] be defined by

Eε(m,ω) := c1

∫D|∇m|2 dx+

∫D

f(m,Tx

εω)

dx+c2

∫R3|∇v|2 dx−c3

∫D

H·mdx

if m ∈ K, and +∞ otherwise.

Theorem

The family (Eε(·,ω))ε>0 Γ-converges, a.s. in Ω as ε → 0+, with respect tothe strong topology of L2(R3;R3), to the functional E : L2(R3;R3)→ [0,+∞]given by

E(m) := c1

∫D|∇m|2 dx+

∫D

f (m(x))dx+ c2

∫R3|∇v|2 dx− c3

∫D

H ·mdx

if m ∈ K and +∞ otherwise, where

f (m) :=∫

Ω

f (ω,m)dµ(ω), ∀m ∈ R3

Michela Eleuteri Polycrystalline magnetic materials

Page 80: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

The Γ−convergence result

For any ε > 0 and ω ∈Ω, let Eε(·,ω) : L2(R3;R3)→ [0,+∞] be defined by

Eε(m,ω) := c1

∫D|∇m|2 dx+

∫D

f(m,Tx

εω)

dx+c2

∫R3|∇v|2 dx−c3

∫D

H·mdx

if m ∈ K, and +∞ otherwise.

Theorem

The family (Eε(·,ω))ε>0 Γ-converges, a.s. in Ω as ε → 0+, with respect tothe strong topology of L2(R3;R3), to the functional E : L2(R3;R3)→ [0,+∞]given by

E(m) := c1

∫D|∇m|2 dx+

∫D

f (m(x))dx+ c2

∫R3|∇v|2 dx− c3

∫D

H ·mdx

if m ∈ K and +∞ otherwise, where

f (m) :=∫

Ω

f (ω,m)dµ(ω), ∀m ∈ R3

Michela Eleuteri Polycrystalline magnetic materials

Page 81: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

The Γ−convergence result

For any ε > 0 and ω ∈Ω, let Eε(·,ω) : L2(R3;R3)→ [0,+∞] be defined by

Eε(m,ω) := c1

∫D|∇m|2 dx+

∫D

f(m,Tx

εω)

dx+c2

∫R3|∇v|2 dx−c3

∫D

H·mdx

if m ∈ K, and +∞ otherwise.

Theorem

The family (Eε(·,ω))ε>0 Γ-converges, a.s. in Ω as ε → 0+, with respect tothe strong topology of L2(R3;R3), to the functional E : L2(R3;R3)→ [0,+∞]given by

E(m) := c1

∫D|∇m|2 dx+

∫D

f (m(x))dx+ c2

∫R3|∇v|2 dx− c3

∫D

H ·mdx

if m ∈ K and +∞ otherwise, where

f (m) :=∫

Ω

f (ω,m)dµ(ω), ∀m ∈ R3

Michela Eleuteri Polycrystalline magnetic materials

Page 82: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Application to polycrystalline magnetic materials

For any ε > 0 and ω ∈Ω, let Eε(·,ω) : L2(R3;R3)→ [0,+∞] be defined by

Eε(m,ω) := c1

∫D|∇m|2 dx+

∫D

f(m,Tx

εω)

dx+c2

∫R3|∇v|2 dx−c3

∫D

H·mdx

if m ∈ K, and +∞ otherwise.

Theorem

The family (Eε(·,ω))ε>0 Γ-converges, a.s. in Ω as ε → 0+, with respect tothe strong topology of L2(R3;R3), to the functional E : L2(R3;R3)→ [0,+∞]

E(m) := c1

∫D|∇m|2 dx+

∫D

f (m(x))dx+ c2

∫R3|∇v|2 dx− c3

∫D

H ·mdx

if m ∈ K and +∞ otherwise, where

f (m) :=∫

Ω

f (ω,m)dµ(ω), ∀m ∈ R3

Michela Eleuteri Polycrystalline magnetic materials

Page 83: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Application to polycrystalline magnetic materials

For any ε > 0 and ω ∈Ω, let Eε(·,ω) : L2(R3;R3)→ [0,+∞] be defined by

Fε(m,ω) :=A∫

D|∇m|2 dx+

∫D

f(m,Tx

εω)

dx+c2

∫R3|∇v|2 dx−c3

∫D

H·mdx

if m ∈ K, and +∞ otherwise.

Theorem

The family (Eε(·,ω))ε>0 Γ-converges, a.s. in Ω as ε → 0+, with respect tothe strong topology of L2(R3;R3), to the functional E : L2(R3;R3)→ [0,+∞]

E(m) := c1

∫D|∇m|2 dx+

∫D

f (m(x))dx+ c2

∫R3|∇v|2 dx− c3

∫D

H ·mdx

if m ∈ K and +∞ otherwise, where

f (m) :=∫

Ω

f (ω,m)dµ(ω), ∀m ∈ R3

Michela Eleuteri Polycrystalline magnetic materials

Page 84: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Application to polycrystalline magnetic materials

For any ε > 0 and ω ∈Ω, let Eε(·,ω) : L2(R3;R3)→ [0,+∞] be defined by

Fε(m,ω) :=A∫

D|∇m|2 dx+

∫D

f(m,Tx

εω)

dx+µ0 M2

S2

∫R3|∇v|2 dx−c3

∫D

H·mdx

if m ∈ K, and +∞ otherwise.

Theorem

The family (Eε(·,ω))ε>0 Γ-converges, a.s. in Ω as ε → 0+, with respect tothe strong topology of L2(R3;R3), to the functional E : L2(R3;R3)→ [0,+∞]

E(m) := c1

∫D|∇m|2 dx+

∫D

f (m(x))dx+ c2

∫R3|∇v|2 dx− c3

∫D

H ·mdx

if m ∈ K and +∞ otherwise, where

f (m) :=∫

Ω

f (ω,m)dµ(ω), ∀m ∈ R3

Michela Eleuteri Polycrystalline magnetic materials

Page 85: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Application to polycrystalline magnetic materials

For any ε > 0 and ω ∈Ω, let Eε(·,ω) : L2(R3;R3)→ [0,+∞] be defined by

Fε(m,ω) := A∫

D|∇m|2 dx+

∫D

f(m,Tx

εω)

dx+µ0 M2

S2

∫R3|∇v|2 dx

−µ0 MS

∫D

H ·mdx

if m ∈ K, and +∞ otherwise.

Theorem

The family (Eε(·,ω))ε>0 Γ-converges, a.s. in Ω as ε → 0+, with respect tothe strong topology of L2(R3;R3), to the functional E : L2(R3;R3)→ [0,+∞]

E(m) := c1

∫D|∇m|2 dx+

∫D

f (m(x))dx+ c2

∫R3|∇v|2 dx− c3

∫D

H ·mdx

if m ∈ K and +∞ otherwise, where

f (m) :=∫

Ω

f (ω,m)dµ(ω), ∀m ∈ R3

Michela Eleuteri Polycrystalline magnetic materials

Page 86: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Application to polycrystalline magnetic materials

For any ε > 0 and ω ∈Ω, let Eε(·,ω) : L2(R3;R3)→ [0,+∞] be defined by

Fε(m,ω) := A∫

D|∇m|2 dx+

∫D

fan

(m,

xε,ω)

dx+µ0 M2

S2

∫R3|∇v|2 dx

−µ0 MS

∫D

Ha ·mdx

if m ∈ K, and +∞ otherwise.

Theorem

The family (Eε(·,ω))ε>0 Γ-converges, a.s. in Ω as ε → 0+, with respect tothe strong topology of L2(R3;R3), to the functional E : L2(R3;R3)→ [0,+∞]

E(m) := c1

∫D|∇m|2 dx+

∫D

f (m(x))dx+ c2

∫R3|∇v|2 dx− c3

∫D

H ·mdx

if m ∈ K and +∞ otherwise, where

f (m) :=∫

Ω

f (ω,m)dµ(ω), ∀m ∈ R3

Michela Eleuteri Polycrystalline magnetic materials

Page 87: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Application to polycrystalline magnetic materials

For any ε > 0 and ω ∈Ω, let Eε(·,ω) : L2(R3;R3)→ [0,+∞] be defined by

Fε(m,ω) := A∫

D|∇m|2 dx+

∫D

fan

(m,

xε,ω)

dx+µ0 M2

S2

∫R3|∇v|2 dx

−µ0 MS

∫D

Ha ·mdx

if m ∈ K, and +∞ otherwise.

Theorem

The family (Fε(·,ω))ε>0 Γ-converges, a.s. in Ω as ε → 0+, with respect tothe strong topology of L2(R3;R3), to the functional F : L2(R3;R3)→ [0,+∞]

F(m) := A∫

D|∇m|2 dx+

∫D

fan(m(x))dx−µ0

2

∫D

MSHm dx

−µ0

∫D

MSHa ·mdx

if m ∈ K and +∞ otherwise, where f (m) := kan∫

Ω[1− (m ·uan(ω))2]dµ(ω)

Michela Eleuteri Polycrystalline magnetic materials

Page 88: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Determination of equivalent anisotropy properties

The result of the asymptotic problem is applied to the calculation of theequivalent anisotropy properties of a polycrystalline magnetic sample,considering a uniform spatial distribution of the magnetization vector:such a sample is represented as an assembly of grains characterized bya random distribution of easy axes - Fig. a)

Figure 9: Schematic representation of the polycrystalline sample a) anddefinition of local spherical coordinate systems for uan b) and m c)

Michela Eleuteri Polycrystalline magnetic materials

Page 89: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Determination of equivalent anisotropy properties

uan Gaussian random variable with a probability density function

P(y) = P(θ ,φ) = ρ(θ)ρ(φ) where ρ(ν) = 1sν

√2π

exp(−|ν−ην |2

2s2ν

)Spherical coordinate system with angular coordinates θ and φ

uan = sinθ cosφ i+ sinθ sinφ j+ cosθkhaving assigned to m a specific direction described by angles α1 and α2the equivalent anisotropy function fan is numerically computed as

fan(m)=1∫

π

0∫ 2π

0 P(θ ,φ)sinθdθdφ

∫π

0

∫ 2π

0fan(m,uan)P(θ ,φ)sinθdθdφ

wherefan(m,uan) = fan(α1,α2,θ ,φ) = kan[1− (m(α1,α2) ·uan(θ ,φ))

2].

Michela Eleuteri Polycrystalline magnetic materials

Page 90: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Determination of equivalent anisotropy properties

uan Gaussian random variable with a probability density function

P(y) = P(θ ,φ) = ρ(θ)ρ(φ) where ρ(ν) = 1sν

√2π

exp(−|ν−ην |2

2s2ν

)Spherical coordinate system with angular coordinates θ and φ

uan = sinθ cosφ i+ sinθ sinφ j+ cosθkhaving assigned to m a specific direction described by angles α1 and α2the equivalent anisotropy function fan is numerically computed as

fan(m)=1∫

π

0∫ 2π

0 P(θ ,φ)sinθdθdφ

∫π

0

∫ 2π

0fan(m,uan)P(θ ,φ)sinθdθdφ

wherefan(m,uan) = fan(α1,α2,θ ,φ) = kan[1− (m(α1,α2) ·uan(θ ,φ))

2].

Michela Eleuteri Polycrystalline magnetic materials

Page 91: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Determination of equivalent anisotropy properties

uan Gaussian random variable with a probability density function

P(y) = P(θ ,φ) = ρ(θ)ρ(φ) where ρ(ν) = 1sν

√2π

exp(−|ν−ην |2

2s2ν

)Spherical coordinate system with angular coordinates θ and φ

uan = sinθ cosφ i+ sinθ sinφ j+ cosθkhaving assigned to m a specific direction described by angles α1 and α2the equivalent anisotropy function fan is numerically computed as

fan(m)=1∫

π

0∫ 2π

0 P(θ ,φ)sinθdθdφ

∫π

0

∫ 2π

0fan(m,uan)P(θ ,φ)sinθdθdφ

wherefan(m,uan) = fan(α1,α2,θ ,φ) = kan[1− (m(α1,α2) ·uan(θ ,φ))

2].

Michela Eleuteri Polycrystalline magnetic materials

Page 92: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Determination of equivalent anisotropy properties

uan Gaussian random variable with a probability density function

P(y) = P(θ ,φ) = ρ(θ)ρ(φ) where ρ(ν) = 1sν

√2π

exp(−|ν−ην |2

2s2ν

)Spherical coordinate system with angular coordinates θ and φ

uan = sinθ cosφ i+ sinθ sinφ j+ cosθkhaving assigned to m a specific direction described by angles α1 and α2the equivalent anisotropy function fan is numerically computed as

fan(m)=1∫

π

0∫ 2π

0 P(θ ,φ)sinθdθdφ

∫π

0

∫ 2π

0fan(m,uan)P(θ ,φ)sinθdθdφ

wherefan(m,uan) = fan(α1,α2,θ ,φ) = kan[1− (m(α1,α2) ·uan(θ ,φ))

2].

Michela Eleuteri Polycrystalline magnetic materials

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Determination of equivalent anisotropy properties

uan Gaussian random variable with a probability density function

P(y) = P(θ ,φ) = ρ(θ)ρ(φ) where ρ(ν) = 1sν

√2π

exp(−|ν−ην |2

2s2ν

)Spherical coordinate system with angular coordinates θ and φ

uan = sinθ cosφ i+ sinθ sinφ j+ cosθkhaving assigned to m a specific direction described by angles α1 and α2the equivalent anisotropy function fan is numerically computed as

fan(m)=1∫

π

0∫ 2π

0 P(θ ,φ)sinθdθdφ

∫π

0

∫ 2π

0fan(m,uan)P(θ ,φ)sinθdθdφ

wherefan(m,uan) = fan(α1,α2,θ ,φ) = kan[1− (m(α1,α2) ·uan(θ ,φ))

2].

To derive equivalent anisotropy parameters, fan(m) numericallyinterpolated by an equivalent uniaxial anisotropy function of the formf ∗an(m) = k∗an[1− γ(m ·uan(ηθ ,ηφ )

2)] with k∗an equivalent anisotropyconstant and γ a dimensionless interpolating coefficient

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Determination of equivalent anisotropy properties

uan Gaussian random variable with a probability density function

P(y) = P(θ ,φ) = ρ(θ)ρ(φ) where ρ(ν) = 1sν

√2π

exp(−|ν−ην |2

2s2ν

)Spherical coordinate system with angular coordinates θ and φ

uan = sinθ cosφ i+ sinθ sinφ j+ cosθkhaving assigned to m a specific direction described by angles α1 and α2the equivalent anisotropy function fan is numerically computed as

fan(m)=1∫

π

0∫ 2π

0 P(θ ,φ)sinθdθdφ

∫π

0

∫ 2π

0fan(m,uan)P(θ ,φ)sinθdθdφ

wherefan(m,uan) = fan(α1,α2,θ ,φ) = kan[1− (m(α1,α2) ·uan(θ ,φ))

2].

In the case of uniform distribution of vector uan in the (x1,x2)-plane, thefollowing equivalent planar anisotropy function is used as interpolatorf ∗an(m) = k∗an[1− γ(mx1 uan,x1(ηθ +mx2 uan,x2(ηφ )

2)]

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Determination of equivalent anisotropy properties

Figure 3: Asymptotic behaviour of the equivalent parameters k∗an and γ

at the increase of the standard deviation s, here assumed identical forthe two angular coordinates (that is s = sθ = sφ ), having also assumedηθ = π/2 and ηφ = 0. The interpolation is made under the hypothesisof equivalent unidirectional anisotropy

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Determination of equivalent anisotropy properties

An example of the asymptotic behaviour of parameters *ank and ! at the increase of the standard

deviation s, here assumed identical for the two angular coordinates (that is s = s" = s#), is shown in Fig. 2, having assumed $" = %/2 and $# = %. The plots of the equivalent anisotropy functions and the corresponding energy surfaces are shown in Fig. 3 for two values of the standard deviation s. At the increase of s, the equivalent anisotropy energy surface tends to a sphere, since there is an asymptotic behaviour towards isotropy.

Fig. 2 Asymptotic behaviour of the equivalent parameters *ank and ! at the increase of the standard deviation s, having

assumed $" = %/2 and $# = %.

(a) (b)

Fig. 3 Equivalent anisotropy function ( )anf m and corresponding energy surfaces, for s = 0.16 rad (a) and s = 0.63 rad

(b), having assumed $" = %/2 and $# = %. 4. Numerical validation of the homogenization results In order to validate the homogenization procedure, we compare the micromagnetic simulations on a magnetic thin film composed of grains with Gaussian randomly distributed anisotropy direction uan,

Figure 4: Equivalent anisotropy function and corresponding energysurfaces for the Gaussian distribution, for s = 0.16 rad (a) and s = 0.63rad (b), where ηθ = π/2 and ηφ = π . At the increase of s, theequivalent anisotropy energy surface tends to a sphere, since there isasymptotic behavior towards isotropy.

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Determination of equivalent anisotropy properties

Figure 5: Equivalent anisotropy function and corresponding energysurfaces, for Gaussian distribution with s = π/6 (a) and for the uniformdistribution (b)

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Numerical validation of the homogenization results

The homogenization procedure described so far 1) has been validatedby simulating a precessional switching of a polycrystalline magnetic film

A film with size and thickness equal to 20nm is considered

In the film plane (xy-plane) the grains have a square shape with ; ineach grain a given anisotropy direction uan is assumed, randomlydistributed over the entire sample

by integrating the Landau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

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Numerical validation of the homogenization results

The homogenization procedure described so far 2) is applied to thecomputation of the static hysteresis loop of a thin film made of apolycrystalline magnetic material

A film with size and thickness equal to 20nm is considered

In the film plane (xy-plane) the grains have a square shape with ; ineach grain a given anisotropy direction uan is assumed, randomlydistributed over the entire sample

by integrating the Landau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

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Page 100: Determination of the equivalent anisotropy properties of ... · G. Mingione (2006), A. De Simone, R.V. Kohn, S. Müller, and F. Otto (2006).. Equivalent anisotropy properties of polycrystalline

Numerical validation of the homogenization results

The homogenization procedure described so far 1) simulating aprecessional switching 2) computation of the static hysteresis loop

A film with size and thickness equal to 20nm is considered

In the film plane (xy-plane) the grains have a square shape with ; ineach grain a given anisotropy direction uan is assumed, randomlydistributed over the entire sample

by integrating the Landau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

Michela Eleuteri Polycrystalline magnetic materials

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Numerical validation of the homogenization results

The homogenization procedure described so far 1) simulating aprecessional switching 2) computation of the static hysteresis loop

A film with size 4µm×4µm and thickness equal to 20nm is considered

In the film plane (xy-plane) the grains have a square shape with ; ineach grain a given anisotropy direction uan is assumed, randomlydistributed over the entire sample

by integrating the Landau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

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Numerical validation of the homogenization results

The homogenization procedure described so far 1) simulating aprecessional switching 2) computation of the static hysteresis loop

A film with size 4µm×4µm /2µm×2µm and thickness equal to 20nmis considered

In the film plane (xy-plane) the grains have a square shape with ; ineach grain a given anisotropy direction uan is assumed, randomlydistributed over the entire sample

by integrating the Landau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

Michela Eleuteri Polycrystalline magnetic materials

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Numerical validation of the homogenization results

The homogenization procedure described so far 1) simulating aprecessional switching 2) computation of the static hysteresis loop

A film with size 4µm×4µm /2µm×2µm and thickness equal to 20nmis considered

In the film plane (xy-plane) the grains have a square shape with size of20nm ; in each grain a given anisotropy direction uan is assumed,randomly distributed over the entire sample

by integrating the Landau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

Michela Eleuteri Polycrystalline magnetic materials

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Numerical validation of the homogenization results

The homogenization procedure described so far 1) simulating aprecessional switching 2) computation of the static hysteresis loop

A film with size 4µm×4µm /2µm×2µm and thickness equal to 20nmis considered

In the film plane (xy-plane) the grains have a square shape with size of20nm /dimension ranging from 20nm to 100nm; in each grain a givenanisotropy direction uan is assumed, randomly distributed over the entiresample

by integrating the Landau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

Michela Eleuteri Polycrystalline magnetic materials

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Numerical validation of the homogenization results

The homogenization procedure described so far 1) simulating aprecessional switching 2) computation of the static hysteresis loop

A film with size 4µm×4µm /2µm×2µm and thickness equal to 20nmis considered

In the film plane (xy-plane) the grains have a square shape with size of20nm /dimension ranging from 20nm to 100nm; in each grain a givenanisotropy direction uan is assumed, randomly distributed over the entiresample

Micromagnetic simulations are performed by integrating theLandau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

Michela Eleuteri Polycrystalline magnetic materials

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Numerical validation of the homogenization results

The homogenization procedure described so far 1) simulating aprecessional switching 2) computation of the static hysteresis loop

A film with size 4µm×4µm /2µm×2µm and thickness equal to 20nmis considered

In the film plane (xy-plane) the grains have a square shape with size of20nm /dimension ranging from 20nm to 100nm; in each grain a givenanisotropy direction uan is assumed, randomly distributed over the entiresample

Micromagnetic simulations are performed /The time evolution towardsequilibrium states in the computation of the static hysteresis loop iscalculated by integrating the Landau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

Michela Eleuteri Polycrystalline magnetic materials

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Numerical validation of the homogenization results

The homogenization procedure described so far 1) simulating aprecessional switching 2) computation of the static hysteresis loop

A film with size 4µm×4µm /2µm×2µm and thickness equal to 20nmis considered

In the film plane (xy-plane) the grains have a square shape with size of20nm /dimension ranging from 20nm to 100nm; in each grain a givenanisotropy direction uan is assumed, randomly distributed over the entiresample

Micromagnetic simulations are performed /The time evolution towardsequilibrium states in the computation of the static hysteresis loop iscalculated by integrating the Landau-Lifschitz-Gilbert equation

∂M∂ t

=− γG

(1+α)2

[((M×Heff)+

α

MSM× (M×Heff)

)],

with |M|= MS; Heff = Ha +Han +Hex +Hm and

Hex =2kex

µ0M2S

∇2M; Hm =∇u, ∇

2u=−MS∇ ·m; Han =−1µ0

∂ fan(M)

∂M

Michela Eleuteri Polycrystalline magnetic materials

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Numerical validation of the homogenization results:simulating a precessional switching

The spatial discretization of the LLG equation is performed by using thefinite element method with linear basis functions, assuming theCartesian components of Heff as nodal unknownsThen, the magnetization update is performed via a norm-conservingscheme based on the Cayley transformTo accelerate the computation, the magnetostatic field due to “far”dipoles is evaluated by a multipole expansion techniqueIn the simulations the following physical parameters have beenconsidered: MS = 800kA/m, A = 15pJ/m and α = 0.02The thin film is discretized into volume elements with size ∼ 6.6nm. Weassume that kan = 50kJ/m3 and vector uan is randomly distributed overthe film plane (i.e. angle θ is fixed to π/2), while angle φ has aGaussian distributionwith standard deviation sφ and expected value ηφ

The precessional switching is simulated starting from a uniform spatialdistribution of the magnetization along the x1−axis and applying aconstant field Ha, with amplitude equal to 100kA/m, along the x2−axis

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Numerical validation of the homogenization results:simulating a precessional switching

Figure 6: The precessional switching is simulated starting from auniform spatial distribution of the magnetization along the x1−axis andapplying a constant field Ha, with amplitude equal to 100kA/m, alongthe x2−axis

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Numerical validation of the homogenization results:simulating a precessional switching

In the next pictures we show the results obtained for a standarddeviation sφ of π/6, π/2 and π respectively

The fitting parameters k∗an/kan and γ are equal to 0.977 and 0.921 forsφ = π/6, while they are equal to 0.88 and 0.567 for sφ = π

The results are validated by comparison to the ones obtained for theheterogeneous structure, putting in evidence a good agreement, alsowhen considering grains having bigger size

Some discrepancies arise at the increase of the standard deviation,since the heterogeneities in the anisotropy term becomes moreimportant

To highlight the effect of grains on anisotropy properties, we have alsocomputed the magnetization time evolutions obtained in the absence ofanisotropy (kan = 0) or assuming a uniform uniaxial anisotropy alongx1−axis

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Scheme of the precessional switching 1/5

(a)

(b)

(c)

Figure 7: Time evolution of magnetization components assuming ananisotropy constant kan equal to 50kJ/m3 and a variable standarddeviation sφ . The grain size is equal to 20nm. The results obtained withthe heterogeneous structure are compared with those given byconsidering homogenized parameters sφ = π/6.

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Scheme of the precessional switching 2/5(a)

(b)

(c)

Figure 8: Time evolution of magnetization components assuming ananisotropy constant kan equal to 50kJ/m3 and a variable standarddeviation sφ . The grain size is equal to 20nm. The results obtained withthe heterogeneous structure are compared with those given byconsidering homogenized parameters sφ = π/2.

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Scheme of the precessional switching 3/5

(a)

(b)

(c)

Figure 9: Time evolution of magnetization components assuming ananisotropy constant kan equal to 50kJ/m3 and a variable standarddeviation sφ . The grain size is equal to 20nm. The results obtained withthe heterogeneous structure are compared with those given byconsidering homogenized parameters sφ = π .

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Scheme of the precessional switching 4/5

Fig. 4 Time evolution of magnetization components assuming an anisotropy constant kan equal to 50 kJ/m3 and a variable standard deviation s!. The grain size is equal to 20 nm. The results obtained with the heterogeneous structure are compared with those given by considering homogenized parameters: (a) s! = "/6, (b) s! = "/2, (c) s! = ".

Fig. 5 Time evolution of magnetization components disregarding anisotropy or assuming an anisotropy constant kan equal to 50 kJ/m3 uniformly distributed along x-axis.

Fig. 6 Time evolution of magnetization components assuming an anisotropy constant kan equal to 100 kJ/m3 and a standard deviation s! = "/6. The grain size is equal to 20 nm. The results obtained with the heterogeneous structure are compared with those given by considering homogenized parameters. References

1. G. Bertotti, Hysteresis in Magnetism (Academic Press, 1998). 2. H. Kronmüller and M. Fähnle, Micromagnetism and the Microstructure of Ferromagnetic Solids (Cambridge

University Press, 2003). 3. J. Fidler and T. Schrefl, Micromagnetic modelling—the current state of the art, J. Phys. D: Appl. Phys. 33

(2000) R135–R156. 4. H. Kronmüller, R. Fischer, R. Hertel and T. Leineweber, Micromagnetism and the microstructure in

nanocrystalline materials, Journal of Magnetism and Magnetic Materials 175 (1997) 177-192.

Figure 10: Time evolution of magnetization components disregardinganisotropy or assuming an anisotropy constant kan equal to 50kJ/m3

uniformly distributed along x−axis.

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Scheme of the precessional switching 5/5

Fig. 4 Time evolution of magnetization components assuming an anisotropy constant kan equal to 50 kJ/m3 and a variable standard deviation s!. The grain size is equal to 20 nm. The results obtained with the heterogeneous structure are compared with those given by considering homogenized parameters: (a) s! = "/6, (b) s! = "/2, (c) s! = ".

Fig. 5 Time evolution of magnetization components disregarding anisotropy or assuming an anisotropy constant kan equal to 50 kJ/m3 uniformly distributed along x-axis.

Fig. 6 Time evolution of magnetization components assuming an anisotropy constant kan equal to 100 kJ/m3 and a standard deviation s! = "/6. The grain size is equal to 20 nm. The results obtained with the heterogeneous structure are compared with those given by considering homogenized parameters. References

1. G. Bertotti, Hysteresis in Magnetism (Academic Press, 1998). 2. H. Kronmüller and M. Fähnle, Micromagnetism and the Microstructure of Ferromagnetic Solids (Cambridge

University Press, 2003). 3. J. Fidler and T. Schrefl, Micromagnetic modelling—the current state of the art, J. Phys. D: Appl. Phys. 33

(2000) R135–R156. 4. H. Kronmüller, R. Fischer, R. Hertel and T. Leineweber, Micromagnetism and the microstructure in

nanocrystalline materials, Journal of Magnetism and Magnetic Materials 175 (1997) 177-192.

Figure 11: Time evolution of magnetization components assuming ananisotropy constant kan equal to 100kJ/m3 and a standard deviationsφ = π/6. The grain size is equal to 20nm. The results obtained with theheterogeneous structure are compared with those given by consideringhomogenized parameters.

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Numerical validation of the homogenization results:computation of the static hysteresis loop

The spatial discretization of the LLG equation is performed by using thefinite element shape functions, assuming the Cartesian components ofm as nodal unknownsTo speed-up the computation and limit the memory requirements, themagnetostatic field due to “far” dipoles is evaluated by a multipoleexpansion techniqueA norm-conserving scheme, based on the Cayley transform is adoptedto time integrating the LLG equation, so that the magnitude of m ispreserved during the time evolution towards equilibrium statesTo compute the descending branch of the static hysteresis loop, thesimulation starts from a uniform magnetization in the direction x1, thenan external field of 200kA/m is applied along the same direction andreduced in steps of 4 kA/m until the magnetization is reversedFor each step of the applied field, the magnetization time evolution iscomputed until the equilibrium state, assumed to be reached when themaximum nodal value of the misalignment between magnetization andeffective field, |m×Heff|, is lower than a fixed threshold Θ

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Numerical validation of the homogenization results:computation of the static hysteresis loop

In the simulations here reported, the following physical parameters areconsidered: MS = 800kA/m and A = 15pJ/mThe magnetic film is discretized into a 2-D mesh with element size∼ 6.6nm, comparable with the exchange length (∼ 6.1nm)We assume that kan = 100kA/m and anisotropy vector uan is randomlydistributed over the film plane (x1x2), that is θ = π/2In the following table, the values of the fitting parameter k∗an/kan and γ ,derived from the homogenization process, are reported, with referenceto two limit cases of random distribution

Case k∗an/kan γ

sφ = π/6 0.993 0.796Uniform distribution 0.5 −1

In the first case, we consider a narrow Gaussian distribution (sφ = π/6),i.e. the easy axis is mainly oriented towards the expected value(ηφ = 0); in the second case a uniform distribution in the film plane isimposed.

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Numerical validation of the homogenization results:computation of the static hysteresis loop

Figure 12: Comparison between the descending branches of the statichysteresis loops with randomly distributed anisotropy direction(heterogeneous medium) and with equivalent properties (homogenizedmedium). We assume a Gaussian distribution with standard deviationsφ = π/6 in the film plane. The grain dimension is 20 nm.

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Numerical validation of the homogenization results:computation of the static hysteresis loop

In the following figure instead we compare the results of themicromagnetic simulations performed on the magnetic film effectivelycomposed of grains with randomly distributed anisotropy direction uan,with those obtained by considering equivalent homogenized propertiesThe grain dimension is here fixed to 20nm. The approximation given bythe homogenization approach provides qualitatively good results,leading to hysteresis loops having similar shapesAnyway, some discrepancies arise in the prediction of the coercive fieldand of the remanent magnetization. The approximation is stronglyinfluenced by the type of anisotropy random distribution: in particular,with the narrow Gaussian distribution a larger value of the coercive fieldis found, since the magnetization results much more pinned along thepreferential directionThe opposite behavior occurs with a uniform distribution in the filmplane, as a consequence of the strong reduction of the equivalentanisotropy constant. Similar results have been found when consideringgrains having bigger size (100nm).

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Numerical validation of the homogenization results:computation of the static hysteresis loop

Figure 13: Comparison between the descending branches of the statichysteresis loops computed with randomly distributed anisotropydirection (i.e. heterogeneous medium) and with equivalent properties(i.e. homogenized medium). Here we assume a uniform distribution inthe film plane. The grain dimension is assumed to be equal to 20 nm.

Michela Eleuteri Polycrystalline magnetic materials